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CVE-2022-35137: n/a in n/a

Medium
VulnerabilityCVE-2022-35137cvecve-2022-35137
Published: Thu Sep 29 2022 (09/29/2022, 18:20:41 UTC)
Source: CVE
Vendor/Project: n/a
Product: n/a

Description

DGIOT Lightweight industrial IoT v4.5.4 was discovered to contain multiple cross-site scripting (XSS) vulnerabilities.

AI-Powered Analysis

AILast updated: 07/06/2025, 06:27:46 UTC

Technical Analysis

CVE-2022-35137 identifies multiple cross-site scripting (XSS) vulnerabilities in DGIOT Lightweight industrial IoT version 4.5.4. DGIOT is an industrial Internet of Things platform designed to facilitate device management, data collection, and control within industrial environments. The vulnerabilities stem from improper input validation and sanitization, allowing attackers to inject malicious scripts into web interfaces. These scripts execute in the context of authenticated users, potentially leading to session hijacking, unauthorized actions, or data theft. The CVSS 3.1 base score of 5.4 (medium severity) reflects that exploitation requires network access, low attack complexity, and privileges (PR:L) with user interaction (UI:R). The scope is changed (S:C), indicating that the vulnerability affects resources beyond the initially vulnerable component. The impact affects confidentiality and integrity but not availability. No known exploits are currently reported in the wild, and no patches are publicly linked, suggesting that remediation may require vendor engagement or custom mitigations. The CWE-79 classification confirms the nature as a classic XSS flaw. Given the industrial IoT context, these vulnerabilities could be leveraged to compromise control dashboards or monitoring systems, potentially disrupting operational visibility or enabling further lateral attacks within industrial networks.

Potential Impact

For European organizations, especially those operating in manufacturing, energy, utilities, and critical infrastructure sectors, this vulnerability poses a moderate risk. Industrial IoT platforms like DGIOT are integral for real-time monitoring and control of industrial processes. Successful exploitation could allow attackers to execute malicious scripts that steal session tokens or manipulate displayed data, leading to unauthorized control commands or misinformation. This can degrade trust in operational data, cause misconfigurations, or facilitate further attacks such as privilege escalation or network pivoting. Confidentiality breaches could expose sensitive operational parameters or intellectual property. Although availability is not directly impacted, the indirect effects on operational integrity could cause process disruptions or safety incidents. The requirement for user interaction and privileges limits the attack surface but does not eliminate risk, especially in environments with multiple users or less stringent access controls. European industrial entities with IoT deployments should consider this vulnerability seriously due to the increasing integration of IoT in critical infrastructure and manufacturing automation.

Mitigation Recommendations

To mitigate CVE-2022-35137, European organizations should: 1) Engage with the DGIOT vendor or community to obtain patches or updates addressing these XSS flaws. If no official patches exist, implement web application firewalls (WAFs) with custom rules to detect and block malicious script payloads targeting the affected interfaces. 2) Conduct thorough input validation and output encoding on all user-controllable inputs within the DGIOT platform, especially in web UI components, to prevent script injection. 3) Enforce the principle of least privilege for user accounts interacting with the IoT platform, minimizing the number of users with elevated rights. 4) Implement multi-factor authentication (MFA) to reduce the risk of session hijacking from stolen credentials or tokens. 5) Monitor logs and network traffic for anomalous activities indicative of XSS exploitation attempts, such as unusual script execution or unexpected HTTP requests. 6) Educate users about the risks of interacting with suspicious links or inputs within the platform to reduce successful user interaction exploitation. 7) Segment industrial IoT networks from corporate and internet-facing networks to limit exposure. These steps, combined, will reduce the likelihood and impact of exploitation beyond generic advice.

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Technical Details

Data Version
5.1
Assigner Short Name
mitre
Date Reserved
2022-07-04T00:00:00.000Z
Cisa Enriched
true
Cvss Version
3.1
State
PUBLISHED

Threat ID: 682ce08d4d7c5ea9f4b389f5

Added to database: 5/20/2025, 8:05:33 PM

Last enriched: 7/6/2025, 6:27:46 AM

Last updated: 8/18/2025, 4:16:52 AM

Views: 16

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